Audible acoustic performance tool

Patent metadata

Field	Value
Publication number	US-10482123-B2
Application number	US-201816122537-A
Country	US
Kind code	B2
Filing date	Sep 5, 2018
Priority date	Sep 5, 2017
Publication date	Nov 19, 2019
Grant date	Nov 19, 2019

Abstract

In an aspect, provided are methods, systems, and apparatuses comprising receiving a query specifying one or more materials of a floor/ceiling assembly and/or a classification or result, determining one or more media files responsive to the query, and providing the one or more media files for playback.

First claim

What is claimed is:

1. A method comprising:
receiving, by a computing device, data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests;
generating, by the computing device, based on the data, a predictive model;
receiving, by the computing device, a query comprising at least one of the one or more testing parameters;
generating, by the computing device, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result;
comparing, by the computing device, the one or more predicted resulting measurements to the data;
identifying, by the computing device, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and
providing, by the computing device, one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result.

2. The method of claim 1 , wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests.

3. The method of claim 1 , wherein the one or more resulting measurements comprise at least one of dB or absorption.

4. The method of claim 1 , wherein the one or more classification/result comprises a sound performance testing result.

5. The method of claim 1 , wherein generating the predictive model comprises utilizing one or more predictive analytics algorithms.

6. An apparatus comprising:
one or more processors; and
memory storing processor executable instructions that, when executed by the one or more processors, cause the apparatus to:
receive data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests;
generate, based on the data, a predictive model;
receive a query comprising at least one of the one or more testing parameters;
generate, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result;
compare the one or more predicted resulting measurements to the data;
identify, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and
provide one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result.

7. The apparatus of claim 6 , wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests.

8. The apparatus of claim 6 , wherein the one or more resulting measurements comprise at least one of dB or absorption.

9. The apparatus of claim 6 , wherein the one or more classification/result comprises a sound performance testing result.

10. The apparatus of claim 6 , wherein the processor executable instructions that cause the apparatus to generate the predictive model further cause the apparatus to utilize one or more predictive analytics algorithms.

11. A non-transitory computer readable medium storing processor executable instructions that, when executed by at least one processor, cause the at least one processor to:
receive data comprising one or more testing parameters, one or more resulting measurements, and one or more classification/result, wherein the data is associated with a plurality of tests;
generate, based on the data, a predictive model;
receive a query comprising at least one of the one or more testing parameters;
generate, based on applying the predictive model to the at least one of the one or more testing parameters, one or more predicted resulting measurements and one or more predicted classification/result;
compare the one or more predicted resulting measurements to the data;
identify, based on the comparison, an existing test, wherein the one or more predicted resulting measurements are within a defined range of resulting measurements of the existing test; and
provide one or more acoustic test recordings associated with the existing acoustic test for playback and the one or more predicted classification/result.

12. The non-transitory computer readable medium of claim 11 , wherein the one or more testing parameters comprise at least one of a material of a floor/ceiling assembly or a test of the plurality of tests.

13. The non-transitory computer readable medium of claim 11 , wherein the one or more resulting measurements comprise at least one of dB or absorption.

14. The non-transitory computer readable medium of claim 11 , wherein the one or more classification/result comprises a sound performance testing result.

15. The non-transitory computer readable medium of claim 11 , wherein the processor executable instructions that cause the at least one processor to generate the predictive model further cause the at least one processor to utilize one or more predictive analytics algorithms.

Assignees

• Columbia Insurance Co

Inventors

• Woodall Joseph M
• Brumbelow Julie B
• Morton Barrett R
• Buttenhoff Alan
• Haywood Robert Blane
• Pearson David

Classifications

• G06F16/68 Primary

  Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title

• G06N5/04

  Inference or reasoning models · CPC title

• G06F16/60 Primary

  of audio data · CPC title

• G06F16/164

  File meta data generation · CPC title

• G06N20/00

  Machine learning · CPC title